Hadoop for .NET Developers

Big Data is becoming part of every company, and Hadoop is the core technology for storing and accessing huge quantities of data. This course will teach you how to use Hadoop in the Microsoft world - running on Windows and using .NET to write queries.

Course info

Rating

(39)

Level

Beginner

Updated

August 29, 2016

Duration

2h 53m

Description

Big Data is an established discipline, and every company can benefit from storing and analyzing large amounts of data to improve their products and services. Hadoop is the key technology in Big Data, but it's too often seen as something which is only for Java and Linux people. This course, Hadoop for .NET Developers, will teach you how to use this key technology. First, you'll learn how to bring Hadoop into a Microsoft environment. You'll also discover how to run the services on Windows and create fast, understandable MapReduce queries in .NET using C#. The course takes a proof-of-concept approach, demonstrating how to evaluate Hadoop on Windows with .NET and .NET Core. By the end of the course, you'll be able to start your own Hadoop journey with confidence.

Transcript

"Hey, how you doing? My name's Elton and this is Hadoop for .NET Developers. I'm a Microsoft MVP and Docker Captain as well as a Pluralsight author, and I've been building Big Data solutions using Microsoft technologies for years now.
So why should .NET Developers care about Hadoop? Big Data's becoming part of every company, soon maybe every team, and Hadoop is the core technology for storing and accessing massive amounts of data. And it's not just a technology for Linux and Java gurus.
Hadoop runs perfectly well on Windows, and MapReduce programming, to query data in Hadoop, can be done with .NET and .NET Core.
In this course you'll learn about different options for running Hadoop on Windows, writing queries in .NET, optimizing those queries, and then you'll learn about the wider Hadoop ecosystem.
This course will give you a thorough grounding in Hadoop, and then you can continue your Big Data journey on Pluralsight, learning about Big Data in Azure, and deep diving on HBase and Hive.